… on the adaptive Kalman filter (KF) and algorithmic robustness metrics, to weigh the F 0
estimates from each of the ten F 0 estimation algorithms. We demonstrate the adaptive KF fusion …

… standard Kalman filter can be applied. In this paper, a new adaptive Kalman filtering algorithm
… measurements by using adaptive Kalman filtering algorithm integrated surveying system. …

… is based on model-adaptive non-linear Kalman filter (NLKF), … Model-adaptive non-linear
Kalman filter technique for battery … model update, Kalman filtering approaches and battery …

… -AKF algorithm, the adaptive estimation of the measurement loss probability is presented
and reframed within the IMM filtering framework. However, while conventional IMM filtering is …

… (VB)-based adaptive Kalman filter (AKF) is proposed to solve the filtering problem of a linear
system … with the existing filtering algorithms with unknown probability of measurement loss. …

… of Kalman filtering techniques to adaptive equalisation. The … adaptive equalisers, one novel,
which utilise Kalman filtering … to configure the algorithm for use in adaptive equalisation is …

… In this section, an on-line fuzzy logic-based adaptive Kalman filter m-AKF) is presented 161.
The adaptation is in the sense of using a Fuzzy Inference System (FIS) to dynamically adjust …

… This paper designs an in-coordinate interval adaptive Kalman filtering algorithm for the
INS/GPS/SMNS integrated navigation system focusing on the characteristics of in-coordinate …

… direct Kalman filter algorithm, this paper presents an asynchronous adaptive direct Kalman
filter (AADKF) algorithm for … Performance of the proposed algorithm is investigated using real …

… for sensor fusion based on Adaptive Fuzzy Kalman Filtering. The method is applied in …
Kalman Filter (EKF) and the noise characteristics are modified using the Fuzzy Logic Adaptive …